{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# UCI Kitsune Network Attack dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "from pathlib import Path\n",
    "from config import data_raw_folder, data_processed_folder\n",
    "from timeeval import Datasets\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (20, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking for source datasets in /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack and\n",
      "saving processed datasets in /home/projects/akita/data/benchmark-data/data-processed\n"
     ]
    }
   ],
   "source": [
    "dataset_collection_name = \"Kitsune\"\n",
    "source_folder = Path(data_raw_folder) / \"UCI ML Repository/Kitsune Network Attack\"\n",
    "target_folder = Path(data_processed_folder)\n",
    "\n",
    "print(f\"Looking for source datasets in {source_folder.absolute()} and\\nsaving processed datasets in {target_folder.absolute()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Directories /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune already exist\n"
     ]
    }
   ],
   "source": [
    "train_type = \"unsupervised\"\n",
    "train_is_normal = False\n",
    "input_type = \"multivariate\"\n",
    "datetime_index = False\n",
    "dataset_type = \"real\"\n",
    "\n",
    "# create target directory\n",
    "dataset_subfolder = os.path.join(input_type, dataset_collection_name)\n",
    "target_subfolder = os.path.join(target_folder, dataset_subfolder)\n",
    "try:\n",
    "    os.makedirs(target_subfolder)\n",
    "    print(f\"Created directories {target_subfolder}\")\n",
    "except FileExistsError:\n",
    "    print(f\"Directories {target_subfolder} already exist\")\n",
    "    pass\n",
    "\n",
    "dm = Datasets(target_folder)\n",
    "\n",
    "datasets= [\n",
    "    \"active_wiretap\",\n",
    "    \"arp_mitm\",\n",
    "    \"fuzzing\",\n",
    "    \"mirai\",\n",
    "    \"os_scan\",\n",
    "    \"ssdp_flood\",\n",
    "    \"ssl_renegotiation\",\n",
    "    \"syn_dos\",\n",
    "    \"video_injection\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing dataset active_wiretap\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/active_wiretap -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/active_wiretap.test.csv\n",
      "Processing dataset arp_mitm\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/arp_mitm -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/arp_mitm.test.csv\n",
      "Processing dataset fuzzing\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/fuzzing -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/fuzzing.test.csv\n",
      "Processing dataset mirai\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/mirai -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/mirai.test.csv\n",
      "Processing dataset os_scan\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/os_scan -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/os_scan.test.csv\n",
      "Processing dataset ssdp_flood\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/ssdp_flood -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/ssdp_flood.test.csv\n",
      "Processing dataset ssl_renegotiation\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/ssl_renegotiation -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/ssl_renegotiation.test.csv\n",
      "Processing dataset syn_dos\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/syn_dos -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/syn_dos.test.csv\n",
      "Processing dataset video_injection\n",
      "  loading data file\n",
      "  loading label file\n",
      "  writing dataset\n",
      "Processed dataset /home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/video_injection -> /home/projects/akita/data/benchmark-data/data-processed/multivariate/Kitsune/video_injection.test.csv\n"
     ]
    }
   ],
   "source": [
    "for dataset_name in datasets:\n",
    "    print(f\"Processing dataset {dataset_name}\")\n",
    "    data_file = list((source_folder / dataset_name).glob(\"*_dataset.csv\"))[0]\n",
    "    label_file = list((source_folder / dataset_name).glob(\"*_labels.csv\"))[0]\n",
    "    \n",
    "    # transform dataset\n",
    "    print(\"  loading data file\")\n",
    "    df = pd.read_csv(data_file, header=None)\n",
    "    df.columns = [f\"value-{c}\" for c in df.columns]\n",
    "    print(\"  loading label file\")\n",
    "    df_label = pd.read_csv(label_file, usecols=[1])\n",
    "    df_label.columns = [\"is_anomaly\"]\n",
    "    df[\"is_anomaly\"] = df_label[\"is_anomaly\"]\n",
    "    del df_label\n",
    "    df.index.name = \"timestamp\"\n",
    "    \n",
    "    filename = f\"{dataset_name}.test.csv\"\n",
    "    path = os.path.join(dataset_subfolder, filename)\n",
    "    target_filepath = os.path.join(target_subfolder, filename)\n",
    "    dataset_length = len(df)\n",
    "    print(\"  writing dataset\")\n",
    "    df.to_csv(target_filepath, index=True)\n",
    "    print(f\"Processed dataset {source_folder / dataset_name} -> {target_filepath}\")\n",
    "\n",
    "    # save metadata\n",
    "    dm.add_dataset((dataset_collection_name, dataset_name),\n",
    "        train_path = None,\n",
    "        test_path = path,\n",
    "        dataset_type = dataset_type,\n",
    "        datetime_index = datetime_index,\n",
    "        split_at = None,\n",
    "        train_type = train_type,\n",
    "        train_is_normal = train_is_normal,\n",
    "        input_type = input_type,\n",
    "        dataset_length = dataset_length\n",
    "    )\n",
    "\n",
    "dm.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>train_path</th>\n",
       "      <th>test_path</th>\n",
       "      <th>dataset_type</th>\n",
       "      <th>datetime_index</th>\n",
       "      <th>split_at</th>\n",
       "      <th>train_type</th>\n",
       "      <th>train_is_normal</th>\n",
       "      <th>input_type</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>collection_name</th>\n",
       "      <th>dataset_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">Kitsune</th>\n",
       "      <th>active_wiretap</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/active_wiretap.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>2278689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arp_mitm</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/arp_mitm.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>2504267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuzzing</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/fuzzing.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>2244139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mirai</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/mirai.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>764137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>os_scan</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/os_scan.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>1697851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ssdp_flood</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/ssdp_flood.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>4077266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ssl_renegotiation</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/ssl_renegotiation.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>2207571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>syn_dos</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/syn_dos.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>2771276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>video_injection</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Kitsune/video_injection.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>2472401</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  train_path  \\\n",
       "collection_name dataset_name                   \n",
       "Kitsune         active_wiretap           NaN   \n",
       "                arp_mitm                 NaN   \n",
       "                fuzzing                  NaN   \n",
       "                mirai                    NaN   \n",
       "                os_scan                  NaN   \n",
       "                ssdp_flood               NaN   \n",
       "                ssl_renegotiation        NaN   \n",
       "                syn_dos                  NaN   \n",
       "                video_injection          NaN   \n",
       "\n",
       "                                                                         test_path  \\\n",
       "collection_name dataset_name                                                         \n",
       "Kitsune         active_wiretap        multivariate/Kitsune/active_wiretap.test.csv   \n",
       "                arp_mitm                    multivariate/Kitsune/arp_mitm.test.csv   \n",
       "                fuzzing                      multivariate/Kitsune/fuzzing.test.csv   \n",
       "                mirai                          multivariate/Kitsune/mirai.test.csv   \n",
       "                os_scan                      multivariate/Kitsune/os_scan.test.csv   \n",
       "                ssdp_flood                multivariate/Kitsune/ssdp_flood.test.csv   \n",
       "                ssl_renegotiation  multivariate/Kitsune/ssl_renegotiation.test.csv   \n",
       "                syn_dos                      multivariate/Kitsune/syn_dos.test.csv   \n",
       "                video_injection      multivariate/Kitsune/video_injection.test.csv   \n",
       "\n",
       "                                  dataset_type  datetime_index  split_at  \\\n",
       "collection_name dataset_name                                               \n",
       "Kitsune         active_wiretap            real           False       NaN   \n",
       "                arp_mitm                  real           False       NaN   \n",
       "                fuzzing                   real           False       NaN   \n",
       "                mirai                     real           False       NaN   \n",
       "                os_scan                   real           False       NaN   \n",
       "                ssdp_flood                real           False       NaN   \n",
       "                ssl_renegotiation         real           False       NaN   \n",
       "                syn_dos                   real           False       NaN   \n",
       "                video_injection           real           False       NaN   \n",
       "\n",
       "                                     train_type  train_is_normal  \\\n",
       "collection_name dataset_name                                       \n",
       "Kitsune         active_wiretap     unsupervised            False   \n",
       "                arp_mitm           unsupervised            False   \n",
       "                fuzzing            unsupervised            False   \n",
       "                mirai              unsupervised            False   \n",
       "                os_scan            unsupervised            False   \n",
       "                ssdp_flood         unsupervised            False   \n",
       "                ssl_renegotiation  unsupervised            False   \n",
       "                syn_dos            unsupervised            False   \n",
       "                video_injection    unsupervised            False   \n",
       "\n",
       "                                     input_type   length  \n",
       "collection_name dataset_name                              \n",
       "Kitsune         active_wiretap     multivariate  2278689  \n",
       "                arp_mitm           multivariate  2504267  \n",
       "                fuzzing            multivariate  2244139  \n",
       "                mirai              multivariate   764137  \n",
       "                os_scan            multivariate  1697851  \n",
       "                ssdp_flood         multivariate  4077266  \n",
       "                ssl_renegotiation  multivariate  2207571  \n",
       "                syn_dos            multivariate  2771276  \n",
       "                video_injection    multivariate  2472401  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dm.refresh()\n",
    "dm.df().loc[(slice(dataset_collection_name,dataset_collection_name), slice(None))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experimentation\n",
    "\n",
    "Datasets:\n",
    "\n",
    "- ARP MitM: ARP Man-in-the-Middle attack between a camera & DVR\n",
    "- SSDP Flood: SSDP Flooding Attack against the DVR Server\n",
    "- OS Scan: NMAP OS Scan of the subnet\n",
    "- Active Wiretap: A bridged Raspberry Pi placed between all cameras and the DVR server\n",
    "- SYN Flooding: A SYN DoS attack against a camera\n",
    "- Fuzzing: A Fuzzing Attack against DVR's webserver's cgi\n",
    "- Video Injection: A MitM video content injection attack into a camera's live stream\n",
    "- SSL Renegotiation: A DoS attack against an SSL enabled camera\n",
    "- Mirai: The initial infection and propagation of the Mirai malware (**on a diffrent IoT network**)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/active_wiretap'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/arp_mitm'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/fuzzing'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/mirai'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/os_scan'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/ssdp_flood'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/ssl_renegotiation'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/syn_dos'),\n",
       " PosixPath('/home/projects/akita/data/benchmark-data/data-raw/UCI ML Repository/Kitsune Network Attack/video_injection')]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets= [\n",
    "    \"active_wiretap\",\n",
    "    \"arp_mitm\",\n",
    "    \"fuzzing\",\n",
    "    \"mirai\",\n",
    "    \"os_scan\",\n",
    "    \"ssdp_flood\",\n",
    "    \"ssl_renegotiation\",\n",
    "    \"syn_dos\",\n",
    "    \"video_injection\"\n",
    "]\n",
    "[source_folder / d for d in datasets]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_file = list((source_folder / \"os_scan\").glob(\"*_dataset.csv\"))[0]\n",
    "label_file = list((source_folder / \"os_scan\").glob(\"*_labels.csv\"))[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(data_file, header=None)\n",
    "df.columns = [f\"value-{c}\" for c in df.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1697851 entries, 0 to 1697850\n",
      "Columns: 116 entries, value-0 to value-is_anomaly\n",
      "dtypes: float64(115), int64(1)\n",
      "memory usage: 1.5 GB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_label = pd.read_csv(label_file, usecols=[1])\n",
    "df_label.columns = [\"is_anomaly\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1697851 entries, 0 to 1697850\n",
      "Data columns (total 1 columns):\n",
      " #   Column      Dtype\n",
      "---  ------      -----\n",
      " 0   is_anomaly  int64\n",
      "dtypes: int64(1)\n",
      "memory usage: 13.0 MB\n"
     ]
    }
   ],
   "source": [
    "df_label.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value-0</th>\n",
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       "      <td>1294.000000</td>\n",
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       "      <td>1.999974</td>\n",
       "      <td>1294.000000</td>\n",
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       "      <td>2.999999</td>\n",
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       "      <td>1294.000000</td>\n",
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       "    <tr>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1697851 rows × 117 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           value-0      value-1       value-2    value-3      value-4  \\\n",
       "0         1.000000  1294.000000  0.000000e+00   1.000000  1294.000000   \n",
       "1         1.999871  1294.000000  2.328306e-10   1.999923  1294.000000   \n",
       "2         2.999324  1294.000000  0.000000e+00   2.999594  1294.000000   \n",
       "3         3.999272  1294.000000  2.328306e-10   3.999563  1294.000000   \n",
       "4         4.997597  1294.000000  2.328306e-10   4.998558  1294.000000   \n",
       "...            ...          ...           ...        ...          ...   \n",
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       "1697847  56.089276  1256.280518  2.371340e+04  95.124602  1248.604421   \n",
       "1697848  24.218101    60.000000  9.094947e-13  41.684124    60.000000   \n",
       "1697849  57.082093  1256.941311  2.332246e+04  96.117293  1249.076715   \n",
       "1697850  58.055403  1257.579644  2.294398e+04  97.090325  1249.539411   \n",
       "\n",
       "              value-5     value-6      value-7       value-8      value-9  \\\n",
       "0        0.000000e+00    1.000000  1294.000000  0.000000e+00     1.000000   \n",
       "1        6.984919e-10    1.999974  1294.000000  0.000000e+00     1.999997   \n",
       "2        2.328306e-10    2.999865  1294.000000  2.328306e-10     2.999986   \n",
       "3        9.313226e-10    3.999854  1294.000000  2.328306e-10     3.999985   \n",
       "4        9.313226e-10    4.999519  1294.000000  2.328306e-10     4.999952   \n",
       "...               ...         ...          ...           ...          ...   \n",
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       "1697848  1.818989e-12  132.075127    60.000000  4.092726e-12  1360.879336   \n",
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       "1697850  3.064063e+04  299.609654  1241.153722  3.964895e+04  3051.413632   \n",
       "\n",
       "         ...     value-107     value-108    value-109   value-110  \\\n",
       "0        ...  0.000000e+00      1.000000  1294.000000    0.000000   \n",
       "1        ...  0.000000e+00      2.000000  1294.000000    0.000015   \n",
       "2        ...  0.000000e+00      2.999999  1294.000000    0.000031   \n",
       "3        ...  0.000000e+00      3.999999  1294.000000    0.000026   \n",
       "4        ...  0.000000e+00      4.999995  1294.000000    0.000026   \n",
       "...      ...           ...           ...          ...         ...   \n",
       "1697846  ...  8.220905e-09  30554.773785  1239.968489  203.039849   \n",
       "1697847  ...  8.214223e-09  30555.746871  1239.970257  203.036762   \n",
       "1697848  ...  8.008362e-09  13525.849403    60.000000    0.000002   \n",
       "1697849  ...  8.001688e-09  30556.739044  1239.972026  203.033675   \n",
       "1697850  ...  7.994953e-09  30557.710463  1239.973794  203.030588   \n",
       "\n",
       "           value-111     value-112     value-113     value-114  \\\n",
       "0        1294.000000  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "1        1294.000000  2.328306e-10  0.000000e+00  0.000000e+00   \n",
       "2        1294.000000  9.313226e-10  0.000000e+00  0.000000e+00   \n",
       "3        1294.000000  6.984919e-10  0.000000e+00  0.000000e+00   \n",
       "4        1294.000000  6.984919e-10  0.000000e+00  0.000000e+00   \n",
       "...              ...           ...           ...           ...   \n",
       "1697846  1241.419290  4.122518e+04 -3.829889e-12 -9.323921e-09   \n",
       "1697847  1241.421056  4.122393e+04 -3.829852e-12 -9.323973e-09   \n",
       "1697848  1241.421056  4.122393e+04 -3.829835e-12 -1.057234e-08   \n",
       "1697849  1241.422823  4.122267e+04 -3.829817e-12 -1.057245e-08   \n",
       "1697850  1241.424589  4.122142e+04 -3.829796e-12 -1.057256e-08   \n",
       "\n",
       "         value-is_anomaly  is_anomaly  \n",
       "0                       0           0  \n",
       "1                       0           0  \n",
       "2                       0           0  \n",
       "3                       0           0  \n",
       "4                       0           0  \n",
       "...                   ...         ...  \n",
       "1697846                 0           0  \n",
       "1697847                 0           0  \n",
       "1697848                 0           0  \n",
       "1697849                 0           0  \n",
       "1697850                 0           0  \n",
       "\n",
       "[1697851 rows x 117 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"is_anomaly\"] = df_label[\"is_anomaly\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.iloc[1314000:1318000].plot(y=range(0, 35))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_label.iloc[1314000:1318000].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mk45mFwAAAMCZs+PAUF7wPz+bJNn81lfma4/ta3JF00tliSZanBFFAAAAM8j/uXnDE57ftnlvkyoBpiNBEQAAwAzyyft2HH28b2CkiZUA05GgCAAAYAbZdWj46OPvf/tXmlgJMB0JigAAAGaoTbsHml0CMM0IigAAAABIIigCAAAAoEFQBAAAAEASQREAAMCMMTgy1uwSgGlOUAQAADBDbOyzeDVwegRFAAAAM8RYvWp2CcA0JygCAACYIcZq9WaXAExzgiIAAIAZYkRQBJwmQREAAMAM8bkHdjW7BGCaExQBAADMENeuW9zsEoBpTlAEAAAwQ1jLGjhdgiIAAIAZYqxujSLg9AiKAAAAZoix2ukNKaoqQ5Kg1QmKAAAAZoix05x7dsdj+85QJcB0JSgCAACYIcZqpzf1bOPugTNUCTBdCYoAAABmiL/70qbTOv53b7rvDFUCTFeCIgAAgBliw67+0zp+cKR2hioBpitBEQAAAABJBEUAAAA0lNLsCoBmExQBAACQJFk2t6vZJQBNJigCAAAgSbLr0HCzSwCaTFAEAAAAQBJBEQAAAAANgiIAAAAAkgiKAAAAAGgQFAEAAACQRFAEAAAAQIOgCAAAYAa447F9zS4BmAEERQAAADPAD7z9K80uAZgBBEUAAAAAJBEUAQAAwFFVVTW7BGgqQREAAAAASQRFAAAAADQIigAAAABIIigCAAAAoEFQBAAAwElZ5Blag6AIAACAk6rVBUXQCgRFAAAAnNSOg0PNLgE4CwRFAAAA09zZmBZm5hm0BkERAADANDc8Vp/015g9q33SX6MZ6qbUwROcNCgqpfx9KWVXKeXeY9p+t5SytZRyZ+Pf9cdse3MpZUMp5aFSysuPaX9uKeWexra/KKWUM//pAAAAtJ7bN++d9NfYvHtg0l+jGWqGSsETTGRE0buTXHec9j+vqurqxr+PJUkp5fIkNya5onHM20opR2Lntyd5fZKLG/+Od04AAABO0d99cdOkv8ZobWYGKp+6b2ezS4Ap5aRBUVVVX0gy0Xj6hiTvr6pquKqqTUk2JLm2lLIiyfyqqm6pxifPvifJq59mzQAAABxjx4HJX2j63Pldk/4azbBpd3+zS4Ap5XTWKPrFUsrdjalpixptq5JsOWaf3kbbqsbjJ7cDAABwmq5as2DSX2Nud8ekv0YzjJyF9Z1gOnm6QdHbk1yY5Ook25P8aaP9eOsOVSdoP65SyutLKetLKev7+vqeZokAAACtYev+w80uYdoamaFT6uDpelpBUVVVO6uqqlVVVU/yt0mubWzqTbLmmF1XJ9nWaF99nPanOv87qqq6pqqqa5YtW/Z0SgQAAGgZX96wp9klTFvVU49hgJb0tIKixppDR3xfkiN3RLspyY2llK5SyrqML1p9W1VV25McKqW8oHG3s9cm+chp1A0AAEDDBUvnNLuEaeuFFyxpdgkwpZx0kmkp5X1JXppkaSmlN8nvJHlpKeXqjE8f25zk55Kkqqr7SikfSHJ/krEkb6yqqtY41Rsyfge12Uk+3vgHAADAabp85fxsnKG3r59s7W1PXCmlMsCIFnfSoKiqqh85TvM7T7D/W5K85Tjt65NceUrVAQAAcFK1+uSnGxZ9htZwOnc9AwAAYAoYPQMLMp8sCHr/bVtOuB2YGQRFAAAA01ytfvqjfU42Kml4rHbC7cDMICgCAACY5m5+qO+0zzF2krCpZuYZtARBEQAAALl368ETbq/P0FWeZ+inBU+boAgAAGCaW7Vw9mmfY9ehoRNuP9mII2BmEBQBAABMc1v3Hz7tc5xsMeuZOvVs/WP7ml0CTCmCIgAAAHLBsjkn3H7bpj1nqZKz61P37Wh2CTClCIoAAADInK6OE25/tG/gLFUCNJOgCAAAgOw4cOI1ir7/2avOUiVAMwmKAAAAyL99fesJt7s5GLQGQREAAAAnvU185T7y0BIERQAAAOSHrllzwu1iImgNgiIAAAAye9aJ/zw0oAhag6AIAACAk5qpOdGhobFmlwBTiqAIAACA7Do4fMLtM3WNoq37Dze7BJhSBEUAAADkDf/0tRNuHxg28gZagaAIAACAk7r5ob5ml3BWzMxxUzBxgiIAAAAAkgiKAAAAmIDLV8xvdgnAWSAoAgAAmMbO1iLTqxfNPiuvAzSXoAgAAGAae3zvYLNLAGYQQREAAMA0dmjI3ciAM0dQBAAAMI2N1urNLgGYQQRFAAAA09jyBd3NLgGYQQRFAAAA01hJaXYJwAwiKAIAAOCkPnX/zmaXAJwFgiIAAIBp7IHtB5tdAjCDCIoAAACmsUd2HWp2CcAMIigCAACYxqqq2RUAM4mgCAAAYBrbfmCo2SUAM4igCAAAYBqb193R7BKAGURQBAAAMI21ldLsEoAZRFAEAAAwjdUtUgScQYIiAACAaexzD+5qdgkzityNVicoAgAAmMbu23aw2SUAM4igCAAAYBprs0QRcAYJigAAAKax73/O6maXAMwggiIAAIBprFa3qA5w5giKAAAAprGRWr3ZJQAziKAIAABgGvvo3dubXQIwgwiKAAAAprHLV8xvdgnADCIoAgAAmMZWLZrd7BKAGURQBAAA0OKqyoLYwDhBEQAAQIuzIDZwhKAIAACgxQ0M15pdAjBFCIoAAABa3OzO9maXAEwRgiIAAIBp7NP372x2CcAMIigCAABocY/tHWh2CcAUISgCAABocf/29a3NLgGYIgRFAAAALe7yFfObXQIwRQiKAAAAAEgiKAIAAICjqlTNLgGaSlAEAADQ4v7r++9sdgnAFCEoAgAAACCJoAgAAACABkERAAAAAEkERQAAAAA0CIoAAABoSVXlDmfwZIIiAAAAWtJoTVAETyYoAgAAaHFdHa35p+HQWK3ZJcCU05rvBgAAABw1PFZvdglNMavdn8TwZH4qAAAAaEm1uqln8GSCIgAAAFpS3WLW8E0ERQAAALSkemvOuIMTEhQBAADQkmpGFME3ERQBAAC0qHu3Hmh2CU1l6hl8M0ERAABAi1q/eW+zS2iqusWs4ZsIigAAAFpUrcVzkoNDY80uAaYcQREAAECLai/NrqC5quNMPTMbjVYnKAIAAGhRz1y9oNklNNXsWe3NLgGmHEERAABAyzq1IUXHG4EDzCyCIgAAACbE2s8w8wmKAAAAWtRXN+45pf1rMywpGhmrN7sEmHIERQAAAC3qjz/50CntX59hU8/+6dbHm10CTDmCIgAAACZktDazRuAYUQTfTFAEAADAhIzWZtaIIuCbCYoAAACYkLEZNqKoiuALnkxQBAAAME2d7eBmZIYFRf/5UF+zS4ApR1AEAAAwTQ2d5ho7V6ycf0r7z7SpZ737Dje7BJhyBEUAAADTVDnN4zvbT+1Pwlp9Zo0oAr6ZoAgAAGCaGquf3RE+7W3+hISZzk85AADANLXz4NBZfb1FPZ1n9fWAs09QBAAAME09vPPQaR1fTnfuGjDjCIoAAACmqQWzT2+Ej5wIeDJBEQAAwDS1bumcZpcAzDCCIgAAAGg4u8uDw9QjKAIAAAAgiaAIAABg2vqjTzzU7BKAGUZQBAAAME3ddNe2s/p6j+8dPKuvB5x9giIAAAAm5Ksb9zS7BGCSCYoAAACYkPfc8lizSwAmmaAIAABgmnr11StP6/hSyint37vv8Gm9HjD1CYoAAACmqQ/feXbXKAJmvpMGRaWUvy+l7Cql3HtM2+JSyqdLKY80Pi46ZtubSykbSikPlVJefkz7c0sp9zS2/UU51egaAAAAgEk1kRFF705y3ZPa3pTks1VVXZzks43nKaVcnuTGJFc0jnlbKaW9cczbk7w+ycWNf08+JwAAAGeR/70HnuykQVFVVV9IsvdJzTck+YfG439I8upj2t9fVdVwVVWbkmxIcm0pZUWS+VVV3VJVVZXkPcccAwAAAMAU8HTXKDq3qqrtSdL4eE6jfVWSLcfs19toW9V4/OR2AAAAAKaIM72Y9fFGLlYnaD/+SUp5fSllfSllfV9f3xkrDgAAAICn9nSDop2N6WRpfNzVaO9NsuaY/VYn2dZoX32c9uOqquodVVVdU1XVNcuWLXuaJQIAAABwKp5uUHRTkp9sPP7JJB85pv3GUkpXKWVdxhetvq0xPe1QKeUFjbudvfaYYwAAAGgC96IGnqzjZDuUUt6X5KVJlpZSepP8TpK3JvlAKeV1SR5P8pokqarqvlLKB5Lcn2QsyRurqqo1TvWGjN9BbXaSjzf+AQAA0CQPbj+Uev0pVwUBWtBJg6Kqqn7kKTZ9x1Ps/5YkbzlO+/okV55SdQAAAEyaQ8NjqVeCIuAbzvRi1gAAAEwjNUERcAxBEQAAQAuTEz2JLwgtTlAEAADQwmrWKAKOISgCAABoYaaeAccSFAEAALSwR3b2N7sEYAoRFAEAALSwQ0OjzS4BmEIERQAAAC1s1cLZzS4BmEIERQAAAC2sva00uwRgChEUAQAAtLCHrVEEHENQBAAA0MI+9LXeZpcATCGCIgAAgBa2dF5Xs0sAphBBEQAAQAv73AO7ml0CMIUIigAAAFrYc85f2OwSgClEUAQAANDC1izqaXYJwBQiKAIAAAAgiaAIAAAAgAZBEQAAAABJBEUAAAAANAiKAAAAWljV7AKmGF8PWp2gCAAAoIXdunFPs0sAphBBEQAAQAu7q/dAs0sAphBBEQAAAABJBEUAAAAANAiKAAAAAEgiKAIAAACgQVAEAADAjLO7fzibdw80uwyYdjqaXQAAAADTR1VVKaU0u4yTuuYPPpMk2fzWVza5EphejCgCAABgwvYOjDS7BGASCYoAAACYsOc2RuoAM5OgCAAAgBljaLSWWr1qdhkwbVmjCAAAgBnj0t/+RLNLgGnNiCIAAACmvW37D+dn3n17s8uAaU9QBAAAMA1VlelVx3rrxx/M5x7c1ewyYNoTFAEAAExDluF5opvu2tbsEmBGEBQBAABMQxZsBiaDoAgAAGAaqs/QqWfr3vzR/OVnH2l2GdCyBEUAAADTUDNzoqHRWkZr9RPuMzA8lm37D5/yuasq+dNPP/x0SzttMzR/gwnraHYBAAAAnLpaExONI7eg3/zWVz7lPs/83U+mXp14H2DqMaIIAABgGjp4eLTZJZzQkSWUDo/UJnyMO7lB8wmKAAAApqE5XdNjgkiViYc/YxbohqYTFAEAADBpnjxIaO2bPppv+f8+d9x93ckNmm96RNAAAABMS8eLfnr3ffMi17sODmXPwMjkFwSckKAIAACASTPRdYeu/cPPTnIlT2Q9JDg+U88AAACmo2mScxwp8z/u3pa1b/poU2s5lllucHyCIgAAACbNkYE7/3z7lie037Zpb4bHTn5HtJvu2pZP3rfjjNdlPSQ4PkERAAAAk+bIFK8vPrL7Ce0/9De35Hdvuv+kx//y+76en/u/d5zxuuqmnsFxWaMIAACASXOigTsP7TiYQ0Ojef9tW556p0liRBEcn6AIAABgGhoYGWt2CRNyokWj9w6M5Lc/fG8+fOe2p33+4bFaXvvO2yZUx7YDQ1m1cHYSI4rgqZh6BgAAMA195oGdzS5hQk4Ux2zeM5jPP9x3Wue/b9vB3Lpp71NuH63VkyRv//yjefFbP5cNu/qTJPX6ab0szFiCIgAAgGmoPk2mTp1s4M6+wdHTOv9Y7cQvcGTk0B994qEkSd+h4SRJzYgiOC5TzwAAAKahsekSFJ1wTNFT6x8eyxcnMNporHbyoUF//MkHjz6ePas9iTWK4KkYUQQAADANTcUBMf/3q49l7Zs+mqHRY257/zTrfPOH7skb/ulrJ9ynXq8yPIGg6P/c/OjRx/O7x8dLWKMIjk9QBAAAMA1NxalTv/3he5MkG/sGjrY93Sr//a4nLnC99k0fzeCTFvC+8R1fzU+/6/ZTOu+ReowoguMTFAEAAExDUznoGD1mlM+ZHLnznlsee8Lz2zY/9SLWRzz55Q8eHl8T6am+fk93qhzMFIIiAACAaWgqL2bd0V6OPj6TA58Gh8dOvtNJfPaBXUmm5tQ9mAoERQAAANPQVJx6dkRbOSYoOoPnfXDHoVM+Zu/AyBOeP7Rz/BxT+esHzSQoAgAAmIam8ICiJ6jOYCCzZG7XKR/zord+7gnP/+t3XJxkak/dg2YSFAEAAExDU3nq2bEhzJ9/+pFsP3D4jJz36jULTvscR0Y7uesZHF9HswsAAADg1N2z9UCzS3hKxwZF//q13vTuGzwj5z2T2Y4RRXB8RhQBAABMQ/sHR06+0xRx66aT351sIs5EtHNkJNHwWP0ke0JrEhQBAABMQ8+/YEmzS3hKkzVW50xMF3vHFzYmSTraykn2hNYkKAIAAOCMmqxpXUOjpz8KaMsZmgYHM5WgCAAAgDPqa4/tm5TzDg6PTcp5gW8QFAEAAHBGjdYnZ/2fhXNmTcp5gW8QFAEAAHBG7e2fPgttA08kKAIAAJiG/uWO3maX8JT+7kubml3CU/r64/vTa50ieEqCIgAAgGlo74BRO0/X699zx6QtuA3TnaAIAACAlnJoeDTv+OLGZpcBU1JHswsAAACAs2nL3sNZMLuz2WXAlGREEQAAAC1nkm7MBtOeoAgAAICWc//2g80uAaYkQREAAADTTlVNzmLUk3RamDYERQAAAEw7D+081OwSYEYSFAEAADDt9O493OwSYEYSFAEAADDt/OL7vtbsEmBGEhQBAAAw7QyNum0ZTAZBEQAAAABJBEUAAABMMw/tsJA1TJaOZhcAAAAAE/HbH743ly2flw27+ptdCsxYRhQBAAAwbfzgX9+S0XrV7DJgxhIUAQAAcNq+9vi+s/Za5ay9ErQeQREAAABPy43vuCW//x/3J0m+/21fOSuv+eMvOO+svA60KkERAAAAT8tXN+7NO7+06ay+ZnspuX3z3rP6mtBKLGYNAADAtLF7YCRfeLiv2WXAjGVEEQAAANPGIzsPZaxmMWuYLEYUAQAAMG08vncwQ6P1ZpcBM5YRRQAAAEwbQiKYXIIiAAAAAJIIigAAADhNVTVz1gyaOZ8JPD2CIgAAAE5LrS5egZlCUAQAAMBpKaWctdfqbD97rwWtSFAEAADAtDG7s73ZJcCMJigCAABg2uiZ1dHsEmBGO62gqJSyuZRyTynlzlLK+kbb4lLKp0spjzQ+Ljpm/zeXUjaUUh4qpbz8dIsHAACgtew4ONTsEmBGOxMjir69qqqrq6q6pvH8TUk+W1XVxUk+23ieUsrlSW5MckWS65K8rZRizCAAAADAFDEZU89uSPIPjcf/kOTVx7S/v6qq4aqqNiXZkOTaSXh9AAAAAJ6G0w2KqiSfKqXcUUp5faPt3KqqtidJ4+M5jfZVSbYcc2xvow0AAIBp7IHtB5tdAnCGnO4qYC+uqmpbKeWcJJ8upTx4gn2Pdw/D6rg7jodOr0+S88477zRLBAAAYDI9uONQs0sAzpDTGlFUVdW2xsddSf4t41PJdpZSViRJ4+Ouxu69SdYcc/jqJNue4rzvqKrqmqqqrlm2bNnplAgAAMAk+/UP3tXsEoAz5GkHRaWUOaWUeUceJ/nuJPcmuSnJTzZ2+8kkH2k8vinJjaWUrlLKuiQXJ7nt6b4+AAAAAGfW6Uw9OzfJv5VSjpznvVVVfaKUcnuSD5RSXpfk8SSvSZKqqu4rpXwgyf1JxpK8saqq2mlVDwAAAMAZ87SDoqqqNia56jjte5J8x1Mc85Ykb3m6rwkAAADA5Dndu54BAAAAMEMIigAAAABIIigCAAAAoEFQBAAAAEASQREAAAAcVVXNrgCaS1AEAAAAQBJBEQAAAAANgiIAAAAAkgiKAAAAAGgQFAEAAACQRFAEAAAAQIOgCAAAAIAkgiIAAAAAGgRFAAAAACQRFAEAAADQICgCAAAAIImgCAAAAIAGQREAAAAASQRFAAAAADQIigAAAABIIigCAAAAoEFQBAAAAA1VqmaXAE0lKAIAAAAgiaAIAAAAgAZBEQAAAABJBEUAAAAANAiKAAAAAEgiKAIAAACgQVAEAAAAQBJBEQAAAAANgiIAAAAAkgiKAAAAAGgQFAEAAACQRFAEAAAAQIOgCAAAAIAkgiIAAAAAGgRFAAAAACQRFAEAAADQICgCAAAAIImgCAAAAL6hanYB0FyCIgAAAACSCIoAAAAAaBAUAQAAAJBEUAQAADDtVJWFdIDJISgCAAAAIImgCAAAYNoxoAiYLIIiAAAAAJIIigAAAKad+7cfbHYJwAwlKAIAAJhm+ofHml0CMEMJigAAAKYZaxQBk0VQBAAAAEASQREAAMC08+AOaxQBk0NQBAAAMM3829e3NrsEYIYSFAEAAEwzd/ceaHYJwAwlKAIAAAAgiaAIAAAAgAZBEQAAADRUzS4AmkxQBAAAAEASQREAAAAADYIiAAAAAJIIigAAAABoEBQBAAAAkERQBAAAAECDoAgAAACAJIIiAAAAABoERQAAAAAkERQBAAAA0CAoAgAAACCJoAgAAACABkERAAAAAEkERQAAAAA0CIoAAAAASCIoAgAAAKBBUAQAAABAEkERAAAAHFVVVbNLgKYSFMFT2LJ3ML37BptdBgBTWP/w2Fn7g2Lb/sNn5XXgqVRVlb/63CPZ3T/c7FKmtf2DIxmt1Z/WsYeGRp/2sQAT1dHsAlpF//BY/uErm9PV0ZY/+OgDSZLfePkzsuvgUGpVlatWL0z/8Fg27OrP91y1Mpt3D2Tj7oEcHqmlva3khRcuybyujvzo392a65+5PM9esyivfNaKPLKrP4/sPJSt+w9n16Hh3HDVynx5w+6M1Op5+RXL81Pvuj3nLe7Jj7/gvLzqWSvz6ft35oJlc/LL7/t6brh6Vc5f0pN/+Mrm/O8bn53/fKgvl62Yl7d//tH81isvy4Zd/dk7MJpnn7cwV69ZmHu2HshNd27Ly69Ynr2DI7lq9YLsPDicq9YsyMHDY/nInVvzwPZDWb6gK2/7z0dz5coFedml5+T7nr0qN921Lecv6ck9vQdy9XkLMzhSy6bdA7lq9cJctmJePvfgrvzz7Vvym9dflkU9szI0VsvBw6OZ192Z5fO707t/MG//z0fzxUd25/e+94pcfM7cHB6t5S8/tyHnL+nJwcOj+YHnrs7qRT15fO9gHth+MNddsTwd7SUDw7Vs2t2f9962JdddsTzPPm9hLlg6J4vnzMoXH9md4bFaDg2N5V1f3pyff+mFOX9xT1Ytmp1v/aObkyQ/cu15ecurr8zG3QPZdXAoNz+0K+1tbdk/OJJXPmtFRmv1fHXj3gwMj+WHrlmTrs62fOmR3Znb1ZEdB4fyyy+7OL/37/fl3+/enpdfsTyP9vXnl152UXYeHM7XH9+X9raSq9cszObdAxkeq+e/XXdpfv4f78h1VyzPOfO78rp3r89rrlmdi8+Zm297xjnZsKs/tzy6J7/9qsvywfW9+ef1W/LD16zJc85fmJGxKo/sOpRf+ec784vfflG+/vj+XLlqQXpmtadeVelsb8t3XnZu9vQPJyW56Jy5mdfVmbt696e9raS7oz2fe3BXPv/wrrz2hWtTq1e5bdPeLJk7K0vnduXPP/1wfuT55+VdX96U0dr4H0Y/95ILcvnK+blv28Hc+fj+nLugO1v2DuYNL70wSTK/uzOzOtpy051b87x1i3NP74E8sONQFvV05tp1i/ORO7flqtUL8pJLlmXDrv5cd+XyjNWqbNt/OPO6O/OB9VuybumcDI/VcteWA7nh6pX5y89tyMDIWP78h67O3O6ObOobyH3bDubzD+9KZ3tbbt20Nz/1orV5zvmLsmXvYL7zsnPzmQd25tDQWL7tkmX5p1sfy1c37slvv+ryPHPVgnx5w+50d7bnWasX5hnL52W0Vs9H7tyWjraSc+d3Z+fBoYzU6vnbL2zMVWsW5vufsyr3bT2YNYt78ol7t+eqNQuzdsmcdHW0pa9/OB+7Z3s+/3BfvudZK/PfX3lZ/tdnHsmly+fln259PPdsPZCPvPHFuXTFvPyvzzySG65emYd2HMqju/pz/pI56exoy/L53fnn27fkVc9akXpV5W++sDEdbSXPXLUgr3/JBXnPLY/ln259LNeuW5yP3bMj//36y7Ju6Zw8Y/m8bNt/OLdu2pudB4fS3lbypldcmp959+155qoFuXT5/Czs6cziObMyMFzL33zh0dTqVX73e6/IoaHR/ONXH8+16xbn/bdvybolPbmr90D++AeflQ27+vMfd2/P5SvnZ2SsnpULuzNaq3LB0jnZsm8wh4bG8qPPPy8rFszOVzfuyR994sG85fuemYU9nfn0/Ttz1eqFSZK53R25p/dAhkZr+eAdvXnnT16T4bF65nd35pP37cjIWD17BkayefdALl85P/sGR/L6l1yQTbsH8tG7t6d33+G84IIlSZJXXLk8H/r61pQkL7xwSQZHxtI/XMvC2Z0pJdl+YCj3bTuYZ65akFq9ytqlPXl8z2A+ce+OHBoeyyuuXJ7zl8zJroNDubN3f15wwZLcsXlfvvzo7vzcSy7Mt12yLH/26Yeyafdgls6dlapKzp3flZsf6svqRbNz5aoFWTxnVnYcGMq87o786PPPS3dHez56z/bcsnFPfvpFa/PYnsFcs3ZRrv5/P50kef1LLkiSvPrqVfn8w32Z292RVFX2DozmWasX5BP37sjz1i3OvVsP5PpnrsjF58zNojmz8sVH+rJp90BeeMGS3Lllf0ZrVeZ2d+RbLlqa//WZh/Ob11+W3/v3+7JmcU++5aKl2bR7IKsX9eRLj+zOqkWz8/x1i7P9wFB+6G9uyRteemH6h8YyVq9nx4GhzOpoy4suXJrnX7A4G/sG8sH1W/Kyy85N777BXHfF8ly9ZmEe7evP//OBu7Jq4ey86KKluficuek7NJxDQ2P5zsvOyXtvezyzO9uTJD/7rRdk2/7D2TswkqHRWj5y17bc+Lw12Tswkpvu2pbnnr8o9287mJ0Hh9PelrzpFZfltX9/a37nVVfk3Pnd2bRnIIt7ZmXpvFn5nY/cl1982UX54iO78/XH9+U3r78sB4fGsuPA4bz31sfzjOXz8ry1i9PeVrJozqy8/eZH81MvXpvFc2ZlT/9IFvZ05oPrt6Rejf++vW/bgfT1j+TfvtabhT2z8h2XnZPbNu3NyoWz89COQ/mJF5yfj92zPR+8ozd/+pqr8jdfeDSvfeHadLaX3PxgX268dk029g3ktk17871Xr8x5i3vyqr/80tHf87/6nZdk7dKe/M3nN+bnX3ph3nfr47ll4550tpfc+Lzz8qILl+QzD+zK791wRT77wM707jucP/7kQ0+4VvjCb3x73vWVTbl0+bwsm9eVLzy8Oy+/YnmWL+jOD//NLdl1aDg9s9pz1+98dz64vjc7DhxOvUquu3J53vXlzRkYHktPV3sOHh7LM1ctyPzZHelufG/e/KF78rPfsi7fe/XKPLj9UC5ZPi8dbSX/7V/uzv3bD+azv/Zt+djd2zOnqyOP7x3Miy9ams89OF7nDzxndQZGxrJ6UU/u2rI/87o7cvDwWF797JXZMzCSWx7dk10Hh3Ljteflnq0HMqu9Ld92ybKM1au0leTvv7wpV6xckP/2L3fnv133jCyY3ZnvuvzcPLD9YM6Z152xepWb7tyWn/6WtUmSH/6br2bVwu685po1WbtkTv7HR+7Nm6+/LP/lPevTd2g8oPitV16W11yzJvsGRvKlDbvzyft25NsuWZaOtpL1j+3L/++6S7P9wFAODY1mTldH/uWO3vzY88/L8Fg9G/sG8vF7t2fVwtl54YVLcv+2g/nYvdtz3uKevOzSc/PJe3fkBRcszvPWLc4XH9mdK1bOz1WrF+bBHYeyu384/3z7lnzPVSvy2Qd25borl+eic+bmU/ftzEsuWZZavZ73374lP3TNmmzY1Z+1S+fkH7/6WF54wZK84IIluWDZnIyM1bNmcU969w3moR2H8sD2g+nddzhDo7X0D4/lJZcsS1spefdXNuenXrQ2l62Ylz39I7n5ob7cs3V/7t16ML/0sotSVckvfPuFubv3QC46Z24+ds/21OpVOtpKfvsj9x3tVz/z4nUpJfn64/vyRz/4rPyX99yRTbsHjm7/xW+/KPWqSu++w3ndt6zL3VsPZKxWT1dHe56xfG4629vyH3dvz0M7DuVnv3Vd/uRTD+dPPvVw/vyHr8ozzp2fA4dHs39wJIMjtczpas9F58zLJ+/bkeetXZzNewbyoa/1Ztm87rzuW9blB97+lXz4F16cZ65ekM8/3JcvPtyXNYt78pef23D0euztP/acrFs2J197bH8uXTEvm/oGsv6xfTl4eDQvuHBJ3vOVzXnZZefkpZeck1s37clzz1+Ue7cezFVrFuTWjXtz/TNXZNuBw2krJX/3xY351e+6JJ++f2dWLpyd1Ytm5+Jz5qaroz1dnW35z4f68o+3PJbff/WVeXzvYDrby/h1wFiVzo6SgeGxfOr+nenpbM93XbE8G3b158Dh0bzt5g35rsvPzXPOX5T3fGVzHt7Zn7d835U5cHg0G3b1559v35Lrn7kiz1g+L2/+0D0n/Tvh0uXz8p2XnZt7th7Ib73ysnzxkd35q5s3ZO/ASC46Z25+/tsuzEsuXprf/+gD+fe7tiVJXvmsFSc9L0/fQzv787kHd+aKleO/n9/15U35lze8KB1tJcNj9dy1ZX++8Ehfhkbref1LLshr33lb3vlT12RkrJ7H9w6mqpIbrl6ZvQMjmT2rPbM723N374Fs2j2QVzxzeb68YXdq9aReVdnYN5AXXrgk5y3uySfu3ZEXXrgkXR1t6ZnVnn++fUsuOmdu9vSP5IZnr8z2/UP5rQ/fm0PDY7nhqpX53qtX5tc/eFd+65WX5dG+gVxy7rysWzonewdG8heffSSP9vXnuy8/N4/tGcyyeV35zsvPzaqFs3P75r35iXfedsKvwT++7vn55H07sm7pnPzw89akVlU5MDiafYMj+YOPPpBf+c6L8yvvvzP7Bkey/r9/V27ZuDv3bB3/HH/1Oy/Ju76yOb/yHRfnbf/5aPYPjuTbLz0nPbM68tG7t+WGZ6/K1x/fn++9akX6h2upV1X6Dg3n3PndWb95b+Z2dWTVotlZuXD20b8L7nhsX9532+O5cNnc3NW7P8Nj9TznvIX52uP780c/+KwMjdbyPc9amaGxWrYfGMq587vz5g/dk9WLZucFFyzJCy5YnK9s2JNP3Lsjn7hvR5Lk2y5Zlr+48dlZ/9je3LftYK45f1F+9O9uTZL89Y8/Ny+5ZGk629syNDp+zoHhsTyyqz/fcek5WTK3a9L7YTOVqT6s7pprrqnWr1/f7DJO29o3fbTZJQBMqj95zVX59Q/e1ewyAABa1uI5s7J3YKTZZcx4m9/6ymaXcEaUUu6oquqaJ7ebegbAGSEkAgBoLiERZ4KgCAAAAIAkgiIAAAAAGgRFZ8HgyFizSwAAAAA4KUHRWXDzg33NLgEAAADgpARFZ8Gn7t/R7BIAAAAATkpQdBaM1apmlwAAAABwUoKis6C9rTS7BAAAAICTEhQBAAAAkERQBAAAAECDoAgAAACAJIIiAAAASFeHP48hERSdFe55BgAAMLU9+PvXNbsEmBIERQAAAJzQW77vymaXMOlKcbdqSJoQFJVSriulPFRK2VBKedPZfv1muHbd4maXAAAAzED3/d7Lc9tvfsfR53/w6ivzX751XZLkf994dTb9z+uz8Q+vz8d++Vvzj697fj7wcy/MT77w/Pzz61+QzW99Zf76x5+bD/78C7P5ra/M1377u/Kun37eE86/sKczm9/6yvzY888/2vbg71+XeV0dx63n5VecmyS55vxF+cVvvyhJcuPz1hzd/shbXpEXXbgkSXLX//juo+1/+H3PPPr4T15z1dHH//FL33L08bJ5XU94rT/8vmfmF156YZLkz37oqnz6V1+SJHnhBUue8DU51m+8/BnHbYeJunT5vGaXMOlKVZ29iVGllPYkDyf5riS9SW5P8iNVVd3/VMdcc8011fr1689ShZPjM/fvzM++Z30+/MYX5/IV89PZXjJWr9LZ3paB4bFUSebMas+egZEsnduVfQMjeWzvYC45d25md7YfTbb3D46ku7M9ne1taStJrT7+vRurV+nubM+BwdFs6OvP6kWzc+787ozW6hkaraWtlPQPj2VkrJ41i3ty4PBo5sxqT62q0tXRnq89vi+7Dg7nuiuXZ+/ASDbs6s+yeV1Zs2h27t12MPsGR/Lc8xdlfndn6vUqI7X60c+t79BwSkmWz+9Oe1s5WuvjewbT3dmWpXO7smXfYJYv6M7Bw2PpbC+Z1dGWA4dHs6hnVjrb29K7bzArFszOrI623L55b65avTA7Dw5laLSW85fMyT1b9+eKlQvS3dmejX39aSslVcZ/Uczt6kj/8Fhmtbdl6/7DWbNodgZHaxkarWVuV0d2HxrJyoXdGRytZX5359G6Dw2Npr2tpGdWRwZHxjI6VqWzY/z51v2H09UxXvsRm3cPZPHcWUfPMTxWS0dbW2r1KvWqyqN9/Vm3dE66O9pzcGg0C2aP73dX74GsWzIntarK+s17c8787py3uCeP9vVntFbPiy5c+oS+cmxdX3i4LzsODOWGZ6/Mpt0DWb2oJ/sHR7J6UU+SZMeBobS1JcvmdmW0VmWsXk/PrI48tmcgne1tWTavK53t41nw4MhY9g2OZmNff77++P786PPPy+zO9nR3tufRvv5csHRODg6NZd/gSOZ2deTc+d1HX2P5gu6MjNWz//BIHtpxKM8+b1HmPsWFwRFVVWXvwEjmdXdmx4GhnDO/KyO1egaGxzK7sz3zuzvT1lZyaGg0VZL53Z0ZGB5LraqOfu829g3k4nPnpqujPbV6lT39w1nYMyuP9vVnzqyOLJ03K10d7SlJhsZq6Zk1XtPQaC27+4ePfp0e3nkobSXp6mjPsnld2X5gKMvnd2ff4EhWLOjOrZv2ZvGcWTl/SU8OHh7L/NkdeWRnf760YXdedOGSPGv1wvGfs1o9pZQMjdYyMDKW4dHxn6ddh4YyVqtSq1dZPGdWRmv1dHW0Z/as9qP1dHe2P+HrM1qrZ2SsnjldHXl8z2DOmd+VjsbPT3tbOfq1n9PVfvTrc+RcXR1tGRippaezPW1t3/hfr/7hsQyP1tLeVlJVSV//cKoq2bp/MC+79Nyj/fauLQfyrNULMjhSy6KezozWqmzZN5hz5nVlXndnhkZrqarkoZ2HcvWahendN5juzvYsnduV/uGxJ3zvj/z+2DMwkl0Hh7N68ezMam/L8Gg9o/V6ujvbM7erI1/ZsDsXnTs358zrzpa9gxmp1bNmUU/2Hx7JjgND2XlwOC99xrLsGxjJkrldOXh4NIvmzEqSbNh1KIt6ZmVJ4+dxy97BtLWVzJ3Vkfmzx3/+H+0byOUr5qdWr7Jxd39WL+rJyFg9C3vG+9/Cns7Uq2TB7M48svNQVi6cnT39I5nX3XH0daqqSlUl2w4czqqFs9M/PJZavcrCnvHttXqVtjL+P41jtXraSkm9qtLXP5y5XR05cHg0KxfMbry3lwyM1NLRVrJ/cDSd7eVo/X2HhjNSq6ensz3zZ3/j+1pKMruzPYMj49/DjraSkVo9vfsOZ353Z5Yv6M5tm/Zm7ZKetLeV1Krx9/39A6PZf3jkaD8dGasf7UPtbeXoz1xbW8me/uHUqiqLe2aN/xws6E5bKXlg+8F0d7blwmVzU0rJyFg9Q2O1dLa1pe/QcFYu/Mb7+z29B7JiYXeWzu3Knv7h9O47nKvWLDzaJwYbPxvzZ3dm78BIujrb0tnWdvTn4QsP9+Xic+dmXndnOtpK+g4NZ/mC7qPvVUd+1rbuP5zzl8w5+nM33q+ro79jRsbq2XFgKAeHRrNiQXcODY1lwezOzOnqyP7D4/2xrZRctmJeDg6NJUl2HRzKOfO709XRls728d9Di+fMyi2P7skzVy/IrPa2dLSVjNbrGRiupbuzLd0d41+7g0Oj+cvPPpI3veKytLeVbNk7mNWLZmfr/sNZsWB22tvG3xu27B3MioWz09FW8pkHdqa7oz3LF3Rn9aLZmdPVka37DqejvWT1op7sOjiULfsO5/IV8zNSq6erY/z1N+8ZyIoFs9Pd2Z72tpK9AyPpaC85MDiaNYt7UquPv0/O6mjLnv6RbOzrz8KeWblsxbwMjdYzVq+nSnLLo3vyrRcvTWd7Wx7t68+ly+cnSer1Kr37DufxvYNZ2NOZpXO70taWnDNv/H1/0+6BzJnVnsVzZqVKcni0lgODo9k/OJpzF3Tl0V0DWTJ3Vs5b3JOvP74/qxbOzoKeznR3tuWxPYNZu2ROZnW0ZbRWT61xfbKnfzh9/cNZNnf8d8G2/Ydz0bJ5WdDTmaqq8tF7tuf565Y84Q/AwyPj34PRWpWOtpKhsVpmd7bn4Z39SZIVC7sbX7O2o31+tFZPZ3tb+ofHsvvQcM6Z35W2Mv5zUK+SRT2deWzvYGr1KrPa28avler13L/tYK45f1GSpKN9vPYHth/Mhcvm5tG+/qxdOic9ne0ZGqtnbldHxmr1fPSe7XnFlSsyq7GeSVWN/x6oGu8XfYeGs7CnM3v6R3Le4p4nvF8/+ffBlr2DWblwdoZH6+nsKDl4eCw9Xe0ZGavn4OHRHBoay7nzu7OwpzNVNb6Gytb9hzM8Vs+crvYsmdOVXYeGjv7eO/L6s2e1Z3Znew6P1rJgdmc27x7IeYt7jr5PlVIy2rim62xvS1VV+fzDfbl6zcIs7Jl19PdBV0dbhsZqR78Xc7o6UlVVBkZq33Q9MFqr56sb9+R5axens70tj+w6lNmd7Tl/yZwcHqll7+BIHtszkNULezI0VstFy+Zm16HhdHW05bbNe3PN+YuyZO7457O4Z1Y62ttyYHA0w2O1zOnqyOzO9ozU6uloK6lX45/r7Fntqaoquw4Np6OtpKvxu2f/4MjR9/DxPlBl3jHXggeHRjO7cV3du28wS+Z0HX2vGqvVs+PgN76mY7V6Do/WMjJWz5K5XamqKnf3HsjlK+cf/drVq/H33eGxWma1t6U0rr+P9I3Do7WsWDA7d/fuz5yujly4bG7GavV8fcv+PG/t4ozV6qlXSVsZ/x3e2T5+Lbr2TR89bt851ua3vjJJcvNDu/Kc8xZlwezxa/ZDQ2NZ0NN5kqMnx+GR8fep9qfo+6djY19/li/oPnrtdzJHvobPPm9h/u0XXpzPPbgzP/Pub/x9ufEPr88tG/fkRRcuSSklNz+0Kz/9rtuPbv+nn31+nn3ewuwfHM3h0VouXDY3+wdHUkrJgtmd6Ts0nM728ev39sb17eBILR3tJV0d7enubEtVjb8v//S7x8/7A89ZnT/+wWclyfjfMIt7Uq9XeWRXf3b3D6ckWbFwdpbP7053Z9vR33/H9oeH/uC6jIzVc2hoLHsHRnLFyvlP+D05ODKWtraSXQeHsnLh7MY1eXcGhseydG5Xfv8/7s+7v7L56Pk2v/WV+bNPP5y/+Owj+eWXXZT/57ufkV0HhzJ/dmeGR+sZGBn/Odo/OJp1S+fk0ND4NcZwrZYk6W5c4x9xcGg0g8PjPzedHSUdbW1H3zMODY/mnHnduW/bgVy+Yn7G6lVK8k1/sz3a15+1S+ZktFbPaK2ewZFa9g6M/72yZnFPhkZrGR6rZ8HszuzpH87h0VqGRutZu6QnHcdcWwyOjGXHgaGct7in8TdJLfsHR3LxufOy69BQ9vSP5NLl854wouzIz/WRv/eefD0/U5RS7qiq6ppvaj/LQdELk/xuVVUvbzx/c5JUVfU/n+qYmRAUffK+Hfm5/3tH/uOXviVXrlrQ7HIAAIBp4FSCIo7vZEHRpv95/RMCgv98aFd+6pig6F/f8KI8txEmn457tx7Iq/7yS0nGR1i99QeedcrnOLY/nO73/Q8/9kDe8YWNTzjf//7MI/nzzzx8NChi5nuqoOhsTz1blWTLMc97G20z2pEwbjISdQAAACbLmR9YMRWWQjpRCW7GxNkOio7XH7+pH5ZSXl9KWV9KWd/X13cWyppcPbM6cuGyOW63CAAAnLa//vHn5Fe/85L88ssuanYpU95rnrs6SfKnjXWPnr9uSa5eszC/+z2X5/uf/c1jFq5dtzhXHzOt+kzNCLn43LlHH//CS5/e9+23X3V5kuSvfvTZp13PT7147dHHr3zWiiTJj1y7JpevmP+E9ahoTaaeAQAAALSYqTL17PYkF5dS1pVSZiW5MclNZ7kGAAAAAI5jYkvFnyFVVY2VUn4xySeTtCf5+6qq7jubNQAAAABwfGc1KEqSqqo+luRjZ/t1AQAAADgxqysDAAAAkERQBAAAAECDoAgAAACAJIIiAAAAABoERQAAAAAkERQBAAAA0CAoAgAAACCJoAgAAACABkERAAAAAEkERQAAAAA0CIoAAAAASCIoAgAAAKBBUAQAAABAEkERAAAAAA2CIgAAAACSCIoAAAAAaBAUAQAAAJBEUAQAAABAg6AIAAAAgCSCIgAAAAAaSlVVza7hhEopfUkea3YdZ8DSJLubXQQzjn7FmaZPMRn0K840fYozTZ9iMuhXnGlnuk+dX1XVsic3TvmgaKYopayvquqaZtfBzKJfcabpU0wG/YozTZ/iTNOnmAz6FWfa2epTpp4BAAAAkERQBAAAAECDoOjseUezC2BG0q840/QpJoN+xZmmT3Gm6VNMBv2KM+2s9ClrFAEAAACQxIgiAAAAABoERWdAKeW6UspDpZQNpZQ3HWd7KaX8RWP73aWU50z0WFrTBPrUjzX60t2llK+UUq46ZtvmUso9pZQ7Synrz27lTGUT6FcvLaUcaPSdO0sp/2Oix9KaJtCnfuOY/nRvKaVWSlnc2Oa9im9SSvn7UsquUsq9T7HdNRWnZAJ9yjUVp2wC/co1FadkAn3qrF5TmXp2mkop7UkeTvJdSXqT3J7kR6qquv+Yfa5P8ktJrk/y/CT/u6qq50/kWFrPBPvUi5I8UFXVvlLKK5L8blVVz29s25zkmqqqdp/14pmyJtivXprk16uqetWpHkvrOdV+UUr5niS/WlXVyxrPN8d7FU9SSnlJkv4k76mq6srjbHdNxSmZQJ9yTcUpm0C/emlcU3EKTtannrTvpF9TGVF0+q5NsqGqqo1VVY0keX+SG560zw0Z/4ZXVVV9NcnCUsqKCR5L6zlpv6iq6itVVe1rPP1qktVnuUamn9N5v/FexfGcar/4kSTvOyuVMW1VVfWFJHtPsItrKk7JyfqUayqejgm8Vz0V71Uc1yn2qUm/phIUnb5VSbYc87y30TaRfSZyLK3nVPvF65J8/JjnVZJPlVLuKKW8fhLqY3qaaL96YSnlrlLKx0spV5zisbSWCfeLUkpPkuuS/Osxzd6reDpcUzGZXFNxJrmm4ow7W9dUHWfiJC2uHKftyfP5nmqfiRxL65lwvyilfHvGL2q+5ZjmF1dVta2Uck6ST5dSHmwk1LS2ifSrryU5v6qq/sb0jg8nuXiCx9J6TqVffE+SL1dVdez/lHmv4ulwTcWkcE3FGeaaislyVq6pjCg6fb1J1hzzfHWSbRPcZyLH0nom1C9KKc9K8ndJbqiqas+R9qqqtjU+7krybxkf4gon7VdVVR2sqqq/8fhjSTpLKUsnciwt6VT6xY150hBp71U8Ta6pOONcU3GmuaZiEp2VaypB0em7PcnFpZR1pZRZGf/G3fSkfW5K8trGnTpekORAVVXbJ3gsreek/aKUcl6SDyX5iaqqHj6mfU4pZd6Rx0m+O8lxV86n5UykXy0vpZTG42sz/jtiz0SOpSVNqF+UUhYk+bYkHzmmzXsVT5drKs4o11RMBtdUTIazeU1l6tlpqqpqrJTyi0k+maQ9yd9XVXVfKeXnG9v/OsnHMn53jg1JBpP89ImObcKnwRQywT71P5IsSfK2xu+gsaqqrklybpJ/a7R1JHlvVVWfaMKnwRQzwX71g0neUEoZS3I4yY3V+K0xvVfxTSbYp5Lk+5J8qqqqgWMO917FcZVS3pfkpUmWllJ6k/xOks7ENRVPzwT6lGsqTtkE+pVrKk7JBPpUchavqcp4fwUAAACg1Zl6BgAAAEASQREAAAAADYIiAAAAAJIIigAAAABoEBQBAAAATBOllL8vpewqpdw7wf1/qJRyfynlvlLKe0+6v7ueAQAAAEwPpZSXJOlP8p6qqq48yb4XJ/lAkpdVVbWvlHJOVVW7TnSMEUUAAAAA00RVVV9IsvfYtlLKhaWUT5RS7iilfLGUcmlj039J8n+qqtrXOPaEIVEiKAIAAACY7t6R5Jeqqnpukl9P8rZG+yVJLimlfLmU8tVSynUnO1HHJBYJAAAAwCQqpcxN8qIkHyylHGnuanzsSHJxkpcmWZ3ki6WUK6uq2v9U5xMUAQAAAExfbUn2V1V19XG29Sb5alVVo0k2lVIeynhwdPuJTgYAAADANFRV1cGMh0CvSZIy7qrG5g8n+fZG+9KMT0XbeKLzCYoAAAAApolSyvuS3JLkGaWU3lLK65L8WJLXlVLuSnJfkhsau38yyZ5Syv1Jbk7yG1VV7Tnh+auqmrzqAQAAAJg2jCgCAAAAIImgCAAAAIAGQREAAAAASQRFAAAAADQIigAAAABIIigCAAAAoEFQBAAAAEASQREAAAAADf9/fiBoGyReSYsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(y=[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_label.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "timeeval",
   "language": "python",
   "name": "timeeval"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
